Evidence map›Paper›PMID 33115905›Full record

ArticleBMJ open2020

Predicting pain recovery in patients with acute low back pain: a study protocol for a broad validation of a prognosis prediction model.

Fernanda Gonçalves Silva, Tatiane Mota da Silva, Gabriele Alves Palomo, Mark Jonathan Hancock, Lucíola da Cunha Menezes Costa, Leonardo Oliveira Pena Costa

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Fernanda Gonçalves SilvaPhysiotherapy, UNICID, Sao Paulo, Brazil nanda_fgs94@hotmail.com.ORCID 0000-0002-5116-6751
Tatiane Mota da SilvaPhysiotherapy, UNICID, Sao Paulo, Brazil.
Gabriele Alves PalomoPhysiotherapy, UNICID, Sao Paulo, Brazil.
Mark Jonathan HancockHealth Professions Department, Macquarie University, Sydney, New South Wales, Australia.
Lucíola da Cunha Menezes CostaMasters and Doctoral Programs in Physical Therapy, Universidade Cidade de Sao Paulo, Sao Paulo, Brazil.
Leonardo Oliveira Pena CostaMasters and Doctoral Programs in Physical Therapy, Universidade Cidade de Sao Paulo, Sao Paulo, Brazil.
Universidade Cidade de São Paulo · BRMacquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical course of acute low back pain (LBP) is generally favourable; however, there is significant variability in the prognosis of these patients. A clinical prediction model to predict the likelihood of pain recovery at three time points for patients with acute LBP has recently been developed. The aim of this study is to conduct a broad validation test of this clinical prediction model, by testing its performance in a new sample of patients and a different setting.

methodsThe validation study with a prospective cohort design will recruit 420 patients with recent onset non-specific acute LBP, with moderate pain intensity, seeking care in the emergency departments of hospitals in São Paulo, Brazil. The primary outcome measure will be days to recovery from pain. The predicted probability of pain recovery for each individual will be computed based on predictions of the development model and this will be used to test the performance (calibration and discrimination) in the validation dataset. DISCUSSION: The findings of this study will better inform about the performance of the clinical prediction model, helping both clinicians and patients. If the model's performance is acceptable, then future research should evaluate the impact of the prediction model, assessing whether it produces a change in clinicians' behaviour and/or an improvement in patient outcomes. ETHICS AND DISSEMINATION: Ethics were granted by the Research Ethics Committee of the Universidade Cidade de São Paulo, #20310419.4.0000.0064. Study findings will be disseminated widely through peer-reviewed publications and conference presentations.

Indexed as

Low Back PainModels, StatisticalBrazilHumansPain MeasurementPrognosisProspective Studiesadult orthopaedicsback painepidemiologymusculoskeletal disordersspine

Identifiers

PMID33115905
PMCPMC7594364
OpenAlexW3097045238

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.